Overview

Brought to you by YData

Dataset statistics

Number of variables21
Number of observations5527
Missing cells10224
Missing cells (%)8.8%
Duplicate rows5
Duplicate rows (%)0.1%
Total size in memory6.9 MiB
Average record size in memory1.3 KiB

Variable types

Text4
Numeric6
Categorical9
DateTime1
Unsupported1

Alerts

Dataset has 5 (0.1%) duplicate rowsDuplicates
class_auto is highly imbalanced (81.9%)Imbalance
state is highly imbalanced (52.0%)Imbalance
door is highly imbalanced (82.5%)Imbalance
volume has 393 (7.1%) missing valuesMissing
тип_двигателя has 233 (4.2%) missing valuesMissing
class_auto has 621 (11.2%) missing valuesMissing
body has 648 (11.7%) missing valuesMissing
state has 508 (9.2%) missing valuesMissing
door has 746 (13.5%) missing valuesMissing
fuel has 519 (9.4%) missing valuesMissing
transmission has 376 (6.8%) missing valuesMissing
conditioner has 976 (17.7%) missing valuesMissing
audio has 1533 (27.7%) missing valuesMissing
mileage has 2717 (49.2%) missing valuesMissing
mileage_orig has 954 (17.3%) missing valuesMissing
manth is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-11-07 19:25:52.586460
Analysis finished2024-11-07 19:25:59.724199
Duration7.14 seconds
Software versionydata-profiling vv4.10.0
Download configurationconfig.json

Variables

brend
Text

Distinct68
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size389.6 KiB
2024-11-07T21:25:59.941731image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length13
Median length9
Mean length6.6992944
Min length3

Characters and Unicode

Total characters37027
Distinct characters56
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)0.2%

Sample

1st rowLexus
2nd rowNissan
3rd rowLexus
4th rowVolkswagen
5th rowToyota
ValueCountFrequency (%)
toyota 820
14.8%
volkswagen 751
13.6%
mercedes-benz 559
 
10.1%
lexus 420
 
7.6%
bmw 381
 
6.9%
ford 310
 
5.6%
audi 267
 
4.8%
opel 224
 
4.1%
nissan 179
 
3.2%
honda 175
 
3.2%
Other values (58) 1441
26.1%
2024-11-07T21:26:00.336761image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 4228
 
11.4%
o 3316
 
9.0%
a 2840
 
7.7%
s 2521
 
6.8%
n 2130
 
5.8%
d 1700
 
4.6%
i 1387
 
3.7%
l 1383
 
3.7%
t 1302
 
3.5%
M 1245
 
3.4%
Other values (46) 14975
40.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 29317
79.2%
Uppercase Letter 7151
 
19.3%
Dash Punctuation 559
 
1.5%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
M 1245
17.4%
B 945
13.2%
T 935
13.1%
V 816
11.4%
L 472
 
6.6%
W 381
 
5.3%
A 338
 
4.7%
F 336
 
4.7%
H 316
 
4.4%
O 224
 
3.1%
Other values (19) 1143
16.0%
Lowercase Letter
ValueCountFrequency (%)
e 4228
14.4%
o 3316
11.3%
a 2840
 
9.7%
s 2521
 
8.6%
n 2130
 
7.3%
d 1700
 
5.8%
i 1387
 
4.7%
l 1383
 
4.7%
t 1302
 
4.4%
u 1191
 
4.1%
Other values (16) 7319
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 559
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 36237
97.9%
Common 559
 
1.5%
Cyrillic 231
 
0.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 4228
 
11.7%
o 3316
 
9.2%
a 2840
 
7.8%
s 2521
 
7.0%
n 2130
 
5.9%
d 1700
 
4.7%
i 1387
 
3.8%
l 1383
 
3.8%
t 1302
 
3.6%
M 1245
 
3.4%
Other values (35) 14185
39.1%
Cyrillic
ValueCountFrequency (%)
З 77
33.3%
А 72
31.2%
Г 44
19.0%
В 25
 
10.8%
И 3
 
1.3%
Л 3
 
1.3%
М 2
 
0.9%
а 2
 
0.9%
з 2
 
0.9%
У 1
 
0.4%
Common
ValueCountFrequency (%)
- 559
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 36796
99.4%
Cyrillic 231
 
0.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 4228
 
11.5%
o 3316
 
9.0%
a 2840
 
7.7%
s 2521
 
6.9%
n 2130
 
5.8%
d 1700
 
4.6%
i 1387
 
3.8%
l 1383
 
3.8%
t 1302
 
3.5%
M 1245
 
3.4%
Other values (36) 14744
40.1%
Cyrillic
ValueCountFrequency (%)
З 77
33.3%
А 72
31.2%
Г 44
19.0%
В 25
 
10.8%
И 3
 
1.3%
Л 3
 
1.3%
М 2
 
0.9%
а 2
 
0.9%
з 2
 
0.9%
У 1
 
0.4%

volume
Real number (ℝ)

MISSING 

Distinct237
Distinct (%)4.6%
Missing393
Missing (%)7.1%
Infinite0
Infinite (%)0.0%
Mean2251.5294
Minimum1000
Maximum8000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size86.4 KiB
2024-11-07T21:26:00.484789image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1000
5-th percentile1400
Q11800
median2000
Q32500
95-th percentile3500
Maximum8000
Range7000
Interquartile range (IQR)700

Descriptive statistics

Standard deviation716.98632
Coefficient of variation (CV)0.31844413
Kurtosis4.7894784
Mean2251.5294
Median Absolute Deviation (MAD)400
Skewness1.5910291
Sum11559352
Variance514069.39
MonotonicityNot monotonic
2024-11-07T21:26:00.645830image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2000 1129
20.4%
2500 453
 
8.2%
1800 377
 
6.8%
2200 345
 
6.2%
1600 321
 
5.8%
3500 299
 
5.4%
3000 278
 
5.0%
1900 227
 
4.1%
2400 202
 
3.7%
1400 172
 
3.1%
Other values (227) 1331
24.1%
(Missing) 393
 
7.1%
ValueCountFrequency (%)
1000 93
1.7%
1100 5
 
0.1%
1111 1
 
< 0.1%
1198 1
 
< 0.1%
1199 1
 
< 0.1%
1200 15
 
0.3%
1230 1
 
< 0.1%
1242 1
 
< 0.1%
1246 2
 
< 0.1%
1248 1
 
< 0.1%
ValueCountFrequency (%)
8000 1
 
< 0.1%
7600 1
 
< 0.1%
6700 1
 
< 0.1%
6100 1
 
< 0.1%
6000 5
 
0.1%
5900 1
 
< 0.1%
5700 14
0.3%
5600 4
 
0.1%
5599 1
 
< 0.1%
5500 1
 
< 0.1%

тип_двигателя
Categorical

MISSING 

Distinct5
Distinct (%)0.1%
Missing233
Missing (%)4.2%
Memory size626.5 KiB
Дизель
2013 
Бензин
1294 
Бензин-Газ
1024 
Гибрид
822 
Электро
 
141

Length

Max length10
Median length6
Mean length6.80034
Min length6

Characters and Unicode

Total characters36001
Distinct characters18
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowГибрид
2nd rowБензин
3rd rowГибрид
4th rowДизель
5th rowБензин-Газ

Common Values

ValueCountFrequency (%)
Дизель 2013
36.4%
Бензин 1294
23.4%
Бензин-Газ 1024
18.5%
Гибрид 822
14.9%
Электро 141
 
2.6%
(Missing) 233
 
4.2%

Length

2024-11-07T21:26:00.809956image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-11-07T21:26:00.947240image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
ValueCountFrequency (%)
дизель 2013
38.0%
бензин 1294
24.4%
бензин-газ 1024
19.3%
гибрид 822
15.5%
электро 141
 
2.7%

Most occurring characters

ValueCountFrequency (%)
и 5975
16.6%
з 5355
14.9%
н 4636
12.9%
е 4472
12.4%
Б 2318
 
6.4%
л 2154
 
6.0%
Д 2013
 
5.6%
ь 2013
 
5.6%
Г 1846
 
5.1%
- 1024
 
2.8%
Other values (8) 4195
11.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 28659
79.6%
Uppercase Letter 6318
 
17.5%
Dash Punctuation 1024
 
2.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
и 5975
20.8%
з 5355
18.7%
н 4636
16.2%
е 4472
15.6%
л 2154
 
7.5%
ь 2013
 
7.0%
а 1024
 
3.6%
р 963
 
3.4%
б 822
 
2.9%
д 822
 
2.9%
Other values (3) 423
 
1.5%
Uppercase Letter
ValueCountFrequency (%)
Б 2318
36.7%
Д 2013
31.9%
Г 1846
29.2%
Э 141
 
2.2%
Dash Punctuation
ValueCountFrequency (%)
- 1024
100.0%

Most occurring scripts

ValueCountFrequency (%)
Cyrillic 34977
97.2%
Common 1024
 
2.8%

Most frequent character per script

Cyrillic
ValueCountFrequency (%)
и 5975
17.1%
з 5355
15.3%
н 4636
13.3%
е 4472
12.8%
Б 2318
 
6.6%
л 2154
 
6.2%
Д 2013
 
5.8%
ь 2013
 
5.8%
Г 1846
 
5.3%
а 1024
 
2.9%
Other values (7) 3171
9.1%
Common
ValueCountFrequency (%)
- 1024
100.0%

Most occurring blocks

ValueCountFrequency (%)
Cyrillic 34977
97.2%
ASCII 1024
 
2.8%

Most frequent character per block

Cyrillic
ValueCountFrequency (%)
и 5975
17.1%
з 5355
15.3%
н 4636
13.3%
е 4472
12.8%
Б 2318
 
6.6%
л 2154
 
6.2%
Д 2013
 
5.8%
ь 2013
 
5.8%
Г 1846
 
5.3%
а 1024
 
2.9%
Other values (7) 3171
9.1%
ASCII
ValueCountFrequency (%)
- 1024
100.0%

год
Real number (ℝ)

Distinct55
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2005.5788
Minimum1955
Maximum2024
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size86.4 KiB
2024-11-07T21:26:01.089044image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1955
5-th percentile1992
Q12000
median2006
Q32012
95-th percentile2018
Maximum2024
Range69
Interquartile range (IQR)12

Descriptive statistics

Standard deviation7.9952646
Coefficient of variation (CV)0.0039865123
Kurtosis0.72186721
Mean2005.5788
Median Absolute Deviation (MAD)6
Skewness-0.40015488
Sum11084834
Variance63.924255
MonotonicityNot monotonic
2024-11-07T21:26:01.251853image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2006 352
 
6.4%
2008 306
 
5.5%
2005 297
 
5.4%
2004 291
 
5.3%
2007 288
 
5.2%
2013 281
 
5.1%
2003 247
 
4.5%
2001 232
 
4.2%
2000 220
 
4.0%
2012 220
 
4.0%
Other values (45) 2793
50.5%
ValueCountFrequency (%)
1955 1
< 0.1%
1958 1
< 0.1%
1960 1
< 0.1%
1964 1
< 0.1%
1966 2
< 0.1%
1967 1
< 0.1%
1973 1
< 0.1%
1975 1
< 0.1%
1977 1
< 0.1%
1978 2
< 0.1%
ValueCountFrequency (%)
2024 3
 
0.1%
2023 24
 
0.4%
2022 36
 
0.7%
2021 33
 
0.6%
2020 38
 
0.7%
2019 83
1.5%
2018 112
2.0%
2017 131
2.4%
2016 135
2.4%
2015 164
3.0%

prise
Real number (ℝ)

Distinct618
Distinct (%)11.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8226.0248
Minimum1000
Maximum380000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size86.4 KiB
2024-11-07T21:26:01.410568image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1000
5-th percentile1400
Q12700
median5500
Q310500
95-th percentile24000
Maximum380000
Range379000
Interquartile range (IQR)7800

Descriptive statistics

Standard deviation9883.491
Coefficient of variation (CV)1.2014905
Kurtosis408.56866
Mean8226.0248
Median Absolute Deviation (MAD)3300
Skewness13.037189
Sum45465239
Variance97683395
MonotonicityNot monotonic
2024-11-07T21:26:01.568962image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2000 128
 
2.3%
2500 124
 
2.2%
1500 110
 
2.0%
3500 108
 
2.0%
4500 106
 
1.9%
5000 86
 
1.6%
2200 84
 
1.5%
10500 77
 
1.4%
4000 73
 
1.3%
1700 73
 
1.3%
Other values (608) 4558
82.5%
ValueCountFrequency (%)
1000 69
1.2%
1005 1
 
< 0.1%
1050 2
 
< 0.1%
1100 42
0.8%
1110 5
 
0.1%
1111 10
 
0.2%
1150 13
 
0.2%
1199 1
 
< 0.1%
1200 58
1.0%
1234 1
 
< 0.1%
ValueCountFrequency (%)
380000 1
< 0.1%
222000 1
< 0.1%
111111 1
< 0.1%
106560 1
< 0.1%
99999 1
< 0.1%
79365 1
< 0.1%
74000 1
< 0.1%
70000 1
< 0.1%
66600 1
< 0.1%
60000 1
< 0.1%

class_auto
Categorical

IMBALANCE  MISSING 

Distinct2
Distinct (%)< 0.1%
Missing621
Missing (%)11.2%
Memory size633.0 KiB
Легковой
4772 
Грузовой
 
134

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters39248
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowЛегковой
2nd rowЛегковой
3rd rowЛегковой
4th rowЛегковой
5th rowЛегковой

Common Values

ValueCountFrequency (%)
Легковой 4772
86.3%
Грузовой 134
 
2.4%
(Missing) 621
 
11.2%

Length

2024-11-07T21:26:01.709861image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-11-07T21:26:01.818449image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
ValueCountFrequency (%)
легковой 4772
97.3%
грузовой 134
 
2.7%

Most occurring characters

ValueCountFrequency (%)
о 9812
25.0%
в 4906
12.5%
й 4906
12.5%
Л 4772
12.2%
е 4772
12.2%
г 4772
12.2%
к 4772
12.2%
Г 134
 
0.3%
р 134
 
0.3%
у 134
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 34342
87.5%
Uppercase Letter 4906
 
12.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
о 9812
28.6%
в 4906
14.3%
й 4906
14.3%
е 4772
13.9%
г 4772
13.9%
к 4772
13.9%
р 134
 
0.4%
у 134
 
0.4%
з 134
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
Л 4772
97.3%
Г 134
 
2.7%

Most occurring scripts

ValueCountFrequency (%)
Cyrillic 39248
100.0%

Most frequent character per script

Cyrillic
ValueCountFrequency (%)
о 9812
25.0%
в 4906
12.5%
й 4906
12.5%
Л 4772
12.2%
е 4772
12.2%
г 4772
12.2%
к 4772
12.2%
Г 134
 
0.3%
р 134
 
0.3%
у 134
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Cyrillic 39248
100.0%

Most frequent character per block

Cyrillic
ValueCountFrequency (%)
о 9812
25.0%
в 4906
12.5%
й 4906
12.5%
Л 4772
12.2%
е 4772
12.2%
г 4772
12.2%
к 4772
12.2%
Г 134
 
0.3%
р 134
 
0.3%
у 134
 
0.3%

body
Categorical

MISSING 

Distinct14
Distinct (%)0.3%
Missing648
Missing (%)11.7%
Memory size620.3 KiB
седан
1586 
универсал
800 
внедорожник
625 
минивен
588 
хетчбек
585 
Other values (9)
695 

Length

Max length12
Median length11
Mean length7.4043861
Min length4

Characters and Unicode

Total characters36126
Distinct characters23
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowвнедорожник
2nd rowвнедорожник
3rd rowседан
4th rowминивен
5th rowуниверсал

Common Values

ValueCountFrequency (%)
седан 1586
28.7%
универсал 800
14.5%
внедорожник 625
 
11.3%
минивен 588
 
10.6%
хетчбек 585
 
10.6%
кроссовер 363
 
6.6%
грузовой 88
 
1.6%
микроавтобус 82
 
1.5%
купе 55
 
1.0%
фургон 40
 
0.7%
Other values (4) 67
 
1.2%
(Missing) 648
11.7%

Length

2024-11-07T21:26:01.956513image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
седан 1586
32.5%
универсал 800
16.4%
внедорожник 625
 
12.8%
минивен 588
 
12.1%
хетчбек 585
 
12.0%
кроссовер 363
 
7.4%
грузовой 88
 
1.8%
микроавтобус 82
 
1.7%
купе 55
 
1.1%
фургон 40
 
0.8%
Other values (4) 67
 
1.4%

Most occurring characters

ValueCountFrequency (%)
е 5204
14.4%
н 4886
13.5%
с 3206
8.9%
и 2772
7.7%
в 2558
7.1%
а 2501
 
6.9%
о 2385
 
6.6%
р 2378
 
6.6%
д 2211
 
6.1%
к 1731
 
4.8%
Other values (13) 6294
17.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 36126
100.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
е 5204
14.4%
н 4886
13.5%
с 3206
8.9%
и 2772
7.7%
в 2558
7.1%
а 2501
 
6.9%
о 2385
 
6.6%
р 2378
 
6.6%
д 2211
 
6.1%
к 1731
 
4.8%
Other values (13) 6294
17.4%

Most occurring scripts

ValueCountFrequency (%)
Cyrillic 36126
100.0%

Most frequent character per script

Cyrillic
ValueCountFrequency (%)
е 5204
14.4%
н 4886
13.5%
с 3206
8.9%
и 2772
7.7%
в 2558
7.1%
а 2501
 
6.9%
о 2385
 
6.6%
р 2378
 
6.6%
д 2211
 
6.1%
к 1731
 
4.8%
Other values (13) 6294
17.4%

Most occurring blocks

ValueCountFrequency (%)
Cyrillic 36126
100.0%

Most frequent character per block

Cyrillic
ValueCountFrequency (%)
е 5204
14.4%
н 4886
13.5%
с 3206
8.9%
и 2772
7.7%
в 2558
7.1%
а 2501
 
6.9%
о 2385
 
6.6%
р 2378
 
6.6%
д 2211
 
6.1%
к 1731
 
4.8%
Other values (13) 6294
17.4%

state
Categorical

IMBALANCE  MISSING 

Distinct6
Distinct (%)0.1%
Missing508
Missing (%)9.2%
Memory size634.6 KiB
Отличное
2867 
Хорошее
1936 
Удовлетворительное
 
117
Новый
 
88
Битыйавто
 
9

Length

Max length18
Median length8
Mean length7.7957761
Min length5

Characters and Unicode

Total characters39127
Distinct characters22
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowОтличное
2nd rowОтличное
3rd rowОтличное
4th rowОтличное
5th rowОтличное

Common Values

ValueCountFrequency (%)
Отличное 2867
51.9%
Хорошее 1936
35.0%
Удовлетворительное 117
 
2.1%
Новый 88
 
1.6%
Битыйавто 9
 
0.2%
Плохое 2
 
< 0.1%
(Missing) 508
 
9.2%

Length

2024-11-07T21:26:02.118555image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-11-07T21:26:02.247536image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
ValueCountFrequency (%)
отличное 2867
57.1%
хорошее 1936
38.6%
удовлетворительное 117
 
2.3%
новый 88
 
1.8%
битыйавто 9
 
0.2%
плохое 2
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
о 7191
18.4%
е 7092
18.1%
т 3119
8.0%
л 3103
7.9%
и 2993
7.6%
н 2984
7.6%
О 2867
 
7.3%
ч 2867
 
7.3%
р 2053
 
5.2%
Х 1936
 
4.9%
Other values (12) 2922
7.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 34108
87.2%
Uppercase Letter 5019
 
12.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
о 7191
21.1%
е 7092
20.8%
т 3119
9.1%
л 3103
9.1%
и 2993
8.8%
н 2984
8.7%
ч 2867
 
8.4%
р 2053
 
6.0%
ш 1936
 
5.7%
в 331
 
1.0%
Other values (6) 439
 
1.3%
Uppercase Letter
ValueCountFrequency (%)
О 2867
57.1%
Х 1936
38.6%
У 117
 
2.3%
Н 88
 
1.8%
Б 9
 
0.2%
П 2
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
Cyrillic 39127
100.0%

Most frequent character per script

Cyrillic
ValueCountFrequency (%)
о 7191
18.4%
е 7092
18.1%
т 3119
8.0%
л 3103
7.9%
и 2993
7.6%
н 2984
7.6%
О 2867
 
7.3%
ч 2867
 
7.3%
р 2053
 
5.2%
Х 1936
 
4.9%
Other values (12) 2922
7.5%

Most occurring blocks

ValueCountFrequency (%)
Cyrillic 39127
100.0%

Most frequent character per block

Cyrillic
ValueCountFrequency (%)
о 7191
18.4%
е 7092
18.1%
т 3119
8.0%
л 3103
7.9%
и 2993
7.6%
н 2984
7.6%
О 2867
 
7.3%
ч 2867
 
7.3%
р 2053
 
5.2%
Х 1936
 
4.9%
Other values (12) 2922
7.5%

door
Categorical

IMBALANCE  MISSING 

Distinct3
Distinct (%)0.1%
Missing746
Missing (%)13.5%
Memory size369.9 KiB
4/5
4576 
2/3
 
181
6/7
 
24

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters14343
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4/5
2nd row4/5
3rd row4/5
4th row4/5
5th row4/5

Common Values

ValueCountFrequency (%)
4/5 4576
82.8%
2/3 181
 
3.3%
6/7 24
 
0.4%
(Missing) 746
 
13.5%

Length

2024-11-07T21:26:02.381897image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-11-07T21:26:02.481152image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
ValueCountFrequency (%)
4/5 4576
95.7%
2/3 181
 
3.8%
6/7 24
 
0.5%

Most occurring characters

ValueCountFrequency (%)
/ 4781
33.3%
4 4576
31.9%
5 4576
31.9%
2 181
 
1.3%
3 181
 
1.3%
6 24
 
0.2%
7 24
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9562
66.7%
Other Punctuation 4781
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 4576
47.9%
5 4576
47.9%
2 181
 
1.9%
3 181
 
1.9%
6 24
 
0.3%
7 24
 
0.3%
Other Punctuation
ValueCountFrequency (%)
/ 4781
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14343
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
/ 4781
33.3%
4 4576
31.9%
5 4576
31.9%
2 181
 
1.3%
3 181
 
1.3%
6 24
 
0.2%
7 24
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14343
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 4781
33.3%
4 4576
31.9%
5 4576
31.9%
2 181
 
1.3%
3 181
 
1.3%
6 24
 
0.2%
7 24
 
0.2%

fuel
Categorical

MISSING 

Distinct4
Distinct (%)0.1%
Missing519
Missing (%)9.4%
Memory size591.6 KiB
бензин
2151 
дизель
1947 
газ
698 
электро
 
212

Length

Max length7
Median length6
Mean length5.6242013
Min length3

Characters and Unicode

Total characters28166
Distinct characters15
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowбензин
2nd rowбензин
3rd rowдизель
4th rowгаз
5th rowдизель

Common Values

ValueCountFrequency (%)
бензин 2151
38.9%
дизель 1947
35.2%
газ 698
 
12.6%
электро 212
 
3.8%
(Missing) 519
 
9.4%

Length

2024-11-07T21:26:02.605514image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-11-07T21:26:02.735210image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
ValueCountFrequency (%)
бензин 2151
43.0%
дизель 1947
38.9%
газ 698
 
13.9%
электро 212
 
4.2%

Most occurring characters

ValueCountFrequency (%)
з 4796
17.0%
е 4310
15.3%
н 4302
15.3%
и 4098
14.5%
л 2159
7.7%
б 2151
7.6%
д 1947
6.9%
ь 1947
6.9%
г 698
 
2.5%
а 698
 
2.5%
Other values (5) 1060
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 28166
100.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
з 4796
17.0%
е 4310
15.3%
н 4302
15.3%
и 4098
14.5%
л 2159
7.7%
б 2151
7.6%
д 1947
6.9%
ь 1947
6.9%
г 698
 
2.5%
а 698
 
2.5%
Other values (5) 1060
 
3.8%

Most occurring scripts

ValueCountFrequency (%)
Cyrillic 28166
100.0%

Most frequent character per script

Cyrillic
ValueCountFrequency (%)
з 4796
17.0%
е 4310
15.3%
н 4302
15.3%
и 4098
14.5%
л 2159
7.7%
б 2151
7.6%
д 1947
6.9%
ь 1947
6.9%
г 698
 
2.5%
а 698
 
2.5%
Other values (5) 1060
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Cyrillic 28166
100.0%

Most frequent character per block

Cyrillic
ValueCountFrequency (%)
з 4796
17.0%
е 4310
15.3%
н 4302
15.3%
и 4098
14.5%
л 2159
7.7%
б 2151
7.6%
д 1947
6.9%
ь 1947
6.9%
г 698
 
2.5%
а 698
 
2.5%
Other values (5) 1060
 
3.8%

transmission
Categorical

MISSING 

Distinct6
Distinct (%)0.1%
Missing376
Missing (%)6.8%
Memory size677.8 KiB
автомат
2469 
5-тиступ.мех.
1898 
6-тиступ.мех.
697 
4-ёхступ.мех.
 
42
роботизированая
 
36

Length

Max length15
Median length13
Mean length10.134537
Min length7

Characters and Unicode

Total characters52203
Distinct characters23
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowавтомат
2nd rowавтомат
3rd rowавтомат
4th row6-тиступ.мех.
5th rowавтомат

Common Values

ValueCountFrequency (%)
автомат 2469
44.7%
5-тиступ.мех. 1898
34.3%
6-тиступ.мех. 697
 
12.6%
4-ёхступ.мех. 42
 
0.8%
роботизированая 36
 
0.7%
полуавтомат 9
 
0.2%
(Missing) 376
 
6.8%

Length

2024-11-07T21:26:02.874243image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-11-07T21:26:03.022279image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
ValueCountFrequency (%)
автомат 2469
47.9%
5-тиступ.мех 1898
36.8%
6-тиступ.мех 697
 
13.5%
4-ёхступ.мех 42
 
0.8%
роботизированая 36
 
0.7%
полуавтомат 9
 
0.2%

Most occurring characters

ValueCountFrequency (%)
т 10224
19.6%
. 5274
10.1%
м 5115
9.8%
а 5028
9.6%
х 2679
 
5.1%
и 2667
 
5.1%
у 2646
 
5.1%
п 2646
 
5.1%
е 2637
 
5.1%
- 2637
 
5.1%
Other values (13) 10650
20.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 41655
79.8%
Other Punctuation 5274
 
10.1%
Dash Punctuation 2637
 
5.1%
Decimal Number 2637
 
5.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
т 10224
24.5%
м 5115
12.3%
а 5028
12.1%
х 2679
 
6.4%
и 2667
 
6.4%
у 2646
 
6.4%
п 2646
 
6.4%
е 2637
 
6.3%
с 2637
 
6.3%
о 2595
 
6.2%
Other values (8) 2781
 
6.7%
Decimal Number
ValueCountFrequency (%)
5 1898
72.0%
6 697
 
26.4%
4 42
 
1.6%
Other Punctuation
ValueCountFrequency (%)
. 5274
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2637
100.0%

Most occurring scripts

ValueCountFrequency (%)
Cyrillic 41655
79.8%
Common 10548
 
20.2%

Most frequent character per script

Cyrillic
ValueCountFrequency (%)
т 10224
24.5%
м 5115
12.3%
а 5028
12.1%
х 2679
 
6.4%
и 2667
 
6.4%
у 2646
 
6.4%
п 2646
 
6.4%
е 2637
 
6.3%
с 2637
 
6.3%
о 2595
 
6.2%
Other values (8) 2781
 
6.7%
Common
ValueCountFrequency (%)
. 5274
50.0%
- 2637
25.0%
5 1898
 
18.0%
6 697
 
6.6%
4 42
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Cyrillic 41655
79.8%
ASCII 10548
 
20.2%

Most frequent character per block

Cyrillic
ValueCountFrequency (%)
т 10224
24.5%
м 5115
12.3%
а 5028
12.1%
х 2679
 
6.4%
и 2667
 
6.4%
у 2646
 
6.4%
п 2646
 
6.4%
е 2637
 
6.3%
с 2637
 
6.3%
о 2595
 
6.2%
Other values (8) 2781
 
6.7%
ASCII
ValueCountFrequency (%)
. 5274
50.0%
- 2637
25.0%
5 1898
 
18.0%
6 697
 
6.6%
4 42
 
0.4%

conditioner
Categorical

MISSING 

Distinct3
Distinct (%)0.1%
Missing976
Missing (%)17.7%
Memory size707.0 KiB
климатконтроль
2796 
кондиционер
1392 
безкондиционера
363 

Length

Max length15
Median length14
Mean length13.162162
Min length11

Characters and Unicode

Total characters59901
Distinct characters15
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowклиматконтроль
2nd rowклиматконтроль
3rd rowклиматконтроль
4th rowклиматконтроль
5th rowклиматконтроль

Common Values

ValueCountFrequency (%)
климатконтроль 2796
50.6%
кондиционер 1392
25.2%
безкондиционера 363
 
6.6%
(Missing) 976
 
17.7%

Length

2024-11-07T21:26:03.182314image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-11-07T21:26:03.304380image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
ValueCountFrequency (%)
климатконтроль 2796
61.4%
кондиционер 1392
30.6%
безкондиционера 363
 
8.0%

Most occurring characters

ValueCountFrequency (%)
о 9102
15.2%
к 7347
12.3%
и 6306
10.5%
н 6306
10.5%
л 5592
9.3%
т 5592
9.3%
р 4551
7.6%
а 3159
 
5.3%
м 2796
 
4.7%
ь 2796
 
4.7%
Other values (5) 6354
10.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 59901
100.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
о 9102
15.2%
к 7347
12.3%
и 6306
10.5%
н 6306
10.5%
л 5592
9.3%
т 5592
9.3%
р 4551
7.6%
а 3159
 
5.3%
м 2796
 
4.7%
ь 2796
 
4.7%
Other values (5) 6354
10.6%

Most occurring scripts

ValueCountFrequency (%)
Cyrillic 59901
100.0%

Most frequent character per script

Cyrillic
ValueCountFrequency (%)
о 9102
15.2%
к 7347
12.3%
и 6306
10.5%
н 6306
10.5%
л 5592
9.3%
т 5592
9.3%
р 4551
7.6%
а 3159
 
5.3%
м 2796
 
4.7%
ь 2796
 
4.7%
Other values (5) 6354
10.6%

Most occurring blocks

ValueCountFrequency (%)
Cyrillic 59901
100.0%

Most frequent character per block

Cyrillic
ValueCountFrequency (%)
о 9102
15.2%
к 7347
12.3%
и 6306
10.5%
н 6306
10.5%
л 5592
9.3%
т 5592
9.3%
р 4551
7.6%
а 3159
 
5.3%
м 2796
 
4.7%
ь 2796
 
4.7%
Other values (5) 6354
10.6%

audio
Categorical

MISSING 

Distinct4
Distinct (%)0.1%
Missing1533
Missing (%)27.7%
Memory size835.6 KiB
автомагнитолаCD/MP3(сUSBиBluetooth)
2019 
автомагнитола
973 
автомагнитолаCD/MP3(безUSB)
696 
автомагнитолаHi-End
306 

Length

Max length35
Median length35
Mean length27.020531
Min length13

Characters and Unicode

Total characters107920
Distinct characters36
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowавтомагнитола
2nd rowавтомагнитолаCD/MP3(сUSBиBluetooth)
3rd rowавтомагнитолаCD/MP3(сUSBиBluetooth)
4th rowавтомагнитола
5th rowавтомагнитолаCD/MP3(сUSBиBluetooth)

Common Values

ValueCountFrequency (%)
автомагнитолаCD/MP3(сUSBиBluetooth) 2019
36.5%
автомагнитола 973
17.6%
автомагнитолаCD/MP3(безUSB) 696
 
12.6%
автомагнитолаHi-End 306
 
5.5%
(Missing) 1533
27.7%

Length

2024-11-07T21:26:03.424408image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-11-07T21:26:03.543956image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
ValueCountFrequency (%)
автомагнитолаcd/mp3(сusbиbluetooth 2019
50.6%
автомагнитола 973
24.4%
автомагнитолаcd/mp3(безusb 696
 
17.4%
автомагнитолаhi-end 306
 
7.7%

Most occurring characters

ValueCountFrequency (%)
а 11982
 
11.1%
т 7988
 
7.4%
о 7988
 
7.4%
и 6013
 
5.6%
B 4734
 
4.4%
o 4038
 
3.7%
t 4038
 
3.7%
м 3994
 
3.7%
г 3994
 
3.7%
н 3994
 
3.7%
Other values (26) 49157
45.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 75118
69.6%
Uppercase Letter 21636
 
20.0%
Open Punctuation 2715
 
2.5%
Close Punctuation 2715
 
2.5%
Other Punctuation 2715
 
2.5%
Decimal Number 2715
 
2.5%
Dash Punctuation 306
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
а 11982
16.0%
т 7988
10.6%
о 7988
10.6%
и 6013
 
8.0%
o 4038
 
5.4%
t 4038
 
5.4%
м 3994
 
5.3%
г 3994
 
5.3%
н 3994
 
5.3%
л 3994
 
5.3%
Other values (12) 17095
22.8%
Uppercase Letter
ValueCountFrequency (%)
B 4734
21.9%
U 2715
12.5%
S 2715
12.5%
C 2715
12.5%
P 2715
12.5%
M 2715
12.5%
D 2715
12.5%
H 306
 
1.4%
E 306
 
1.4%
Open Punctuation
ValueCountFrequency (%)
( 2715
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2715
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 2715
100.0%
Decimal Number
ValueCountFrequency (%)
3 2715
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 306
100.0%

Most occurring scripts

ValueCountFrequency (%)
Cyrillic 58048
53.8%
Latin 38706
35.9%
Common 11166
 
10.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
B 4734
12.2%
o 4038
10.4%
t 4038
10.4%
U 2715
 
7.0%
S 2715
 
7.0%
C 2715
 
7.0%
P 2715
 
7.0%
M 2715
 
7.0%
D 2715
 
7.0%
h 2019
 
5.2%
Other values (8) 7587
19.6%
Cyrillic
ValueCountFrequency (%)
а 11982
20.6%
т 7988
13.8%
о 7988
13.8%
и 6013
10.4%
м 3994
 
6.9%
г 3994
 
6.9%
н 3994
 
6.9%
л 3994
 
6.9%
в 3994
 
6.9%
с 2019
 
3.5%
Other values (3) 2088
 
3.6%
Common
ValueCountFrequency (%)
( 2715
24.3%
) 2715
24.3%
/ 2715
24.3%
3 2715
24.3%
- 306
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Cyrillic 58048
53.8%
ASCII 49872
46.2%

Most frequent character per block

Cyrillic
ValueCountFrequency (%)
а 11982
20.6%
т 7988
13.8%
о 7988
13.8%
и 6013
10.4%
м 3994
 
6.9%
г 3994
 
6.9%
н 3994
 
6.9%
л 3994
 
6.9%
в 3994
 
6.9%
с 2019
 
3.5%
Other values (3) 2088
 
3.6%
ASCII
ValueCountFrequency (%)
B 4734
 
9.5%
o 4038
 
8.1%
t 4038
 
8.1%
( 2715
 
5.4%
) 2715
 
5.4%
U 2715
 
5.4%
S 2715
 
5.4%
C 2715
 
5.4%
/ 2715
 
5.4%
P 2715
 
5.4%
Other values (13) 18057
36.2%

mileage
Real number (ℝ)

MISSING 

Distinct627
Distinct (%)22.3%
Missing2717
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean224905.32
Minimum11000
Maximum1000000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size86.4 KiB
2024-11-07T21:26:03.698059image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum11000
5-th percentile75000
Q1152000
median220000
Q3289750
95-th percentile390000
Maximum1000000
Range989000
Interquartile range (IQR)137750

Descriptive statistics

Standard deviation103362.36
Coefficient of variation (CV)0.45958168
Kurtosis7.434922
Mean224905.32
Median Absolute Deviation (MAD)69000
Skewness1.3668919
Sum6.3198394 × 108
Variance1.0683778 × 1010
MonotonicityNot monotonic
2024-11-07T21:26:03.858373image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
300000 133
 
2.4%
200000 83
 
1.5%
250000 75
 
1.4%
270000 48
 
0.9%
180000 46
 
0.8%
280000 44
 
0.8%
350000 43
 
0.8%
240000 42
 
0.8%
220000 42
 
0.8%
230000 39
 
0.7%
Other values (617) 2215
40.1%
(Missing) 2717
49.2%
ValueCountFrequency (%)
11000 2
< 0.1%
12000 2
< 0.1%
12345 1
< 0.1%
14000 2
< 0.1%
15200 1
< 0.1%
17000 1
< 0.1%
18000 2
< 0.1%
18500 1
< 0.1%
18900 1
< 0.1%
19000 1
< 0.1%
ValueCountFrequency (%)
1000000 3
0.1%
999999 3
0.1%
843000 1
 
< 0.1%
826000 1
 
< 0.1%
753488 1
 
< 0.1%
720000 1
 
< 0.1%
700000 2
 
< 0.1%
640000 1
 
< 0.1%
560000 1
 
< 0.1%
552300 7
0.1%
Distinct1118
Distinct (%)20.2%
Missing0
Missing (%)0.0%
Memory size565.1 KiB
2024-11-07T21:26:04.245218image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length82
Median length27
Mean length6.2010132
Min length1

Characters and Unicode

Total characters34273
Distinct characters144
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique730 ?
Unique (%)13.2%

Sample

1st rowТирасполь
2nd rowСергей
3rd rowIgor
4th rowКристина
5th rowМиихаилТатьяна
ValueCountFrequency (%)
александр 297
 
5.4%
сергей 276
 
5.0%
usauto 230
 
4.2%
игорь 203
 
3.7%
олег 187
 
3.4%
дмитрий 181
 
3.3%
андрей 166
 
3.0%
владимир 112
 
2.0%
евгений 111
 
2.0%
вадим 102
 
1.8%
Other values (1012) 3662
66.3%
2024-11-07T21:26:04.805683image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
и 2467
 
7.2%
а 2456
 
7.2%
е 2017
 
5.9%
р 1976
 
5.8%
л 1682
 
4.9%
н 1537
 
4.5%
7 1502
 
4.4%
й 1246
 
3.6%
д 953
 
2.8%
с 951
 
2.8%
Other values (134) 17486
51.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 23515
68.6%
Uppercase Letter 5595
 
16.3%
Decimal Number 4880
 
14.2%
Other Punctuation 147
 
0.4%
Math Symbol 80
 
0.2%
Dash Punctuation 34
 
0.1%
Currency Symbol 11
 
< 0.1%
Connector Punctuation 5
 
< 0.1%
Close Punctuation 3
 
< 0.1%
Open Punctuation 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
и 2467
 
10.5%
а 2456
 
10.4%
е 2017
 
8.6%
р 1976
 
8.4%
л 1682
 
7.2%
н 1537
 
6.5%
й 1246
 
5.3%
д 953
 
4.1%
с 951
 
4.0%
г 890
 
3.8%
Other values (49) 7340
31.2%
Uppercase Letter
ValueCountFrequency (%)
А 774
13.8%
В 702
12.5%
С 445
 
8.0%
И 386
 
6.9%
Д 366
 
6.5%
A 316
 
5.6%
S 270
 
4.8%
О 234
 
4.2%
U 234
 
4.2%
М 229
 
4.1%
Other values (45) 1639
29.3%
Other Punctuation
ValueCountFrequency (%)
. 84
57.1%
* 37
25.2%
/ 10
 
6.8%
, 8
 
5.4%
% 2
 
1.4%
1
 
0.7%
: 1
 
0.7%
? 1
 
0.7%
; 1
 
0.7%
& 1
 
0.7%
Decimal Number
ValueCountFrequency (%)
7 1502
30.8%
0 599
 
12.3%
3 433
 
8.9%
8 402
 
8.2%
2 373
 
7.6%
1 371
 
7.6%
6 328
 
6.7%
5 323
 
6.6%
9 313
 
6.4%
4 236
 
4.8%
Math Symbol
ValueCountFrequency (%)
+ 78
97.5%
= 2
 
2.5%
Currency Symbol
ValueCountFrequency (%)
$ 6
54.5%
5
45.5%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Cyrillic 25232
73.6%
Common 5163
 
15.1%
Latin 3878
 
11.3%

Most frequent character per script

Cyrillic
ValueCountFrequency (%)
и 2467
 
9.8%
а 2456
 
9.7%
е 2017
 
8.0%
р 1976
 
7.8%
л 1682
 
6.7%
н 1537
 
6.1%
й 1246
 
4.9%
д 953
 
3.8%
с 951
 
3.8%
г 890
 
3.5%
Other values (51) 9057
35.9%
Latin
ValueCountFrequency (%)
o 359
 
9.3%
t 322
 
8.3%
A 316
 
8.1%
u 279
 
7.2%
S 270
 
7.0%
a 241
 
6.2%
U 234
 
6.0%
e 204
 
5.3%
i 185
 
4.8%
n 178
 
4.6%
Other values (43) 1290
33.3%
Common
ValueCountFrequency (%)
7 1502
29.1%
0 599
 
11.6%
3 433
 
8.4%
8 402
 
7.8%
2 373
 
7.2%
1 371
 
7.2%
6 328
 
6.4%
5 323
 
6.3%
9 313
 
6.1%
4 236
 
4.6%
Other values (20) 283
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
Cyrillic 25232
73.6%
ASCII 9033
 
26.4%
Currency Symbols 5
 
< 0.1%
Punctuation 1
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

Cyrillic
ValueCountFrequency (%)
и 2467
 
9.8%
а 2456
 
9.7%
е 2017
 
8.0%
р 1976
 
7.8%
л 1682
 
6.7%
н 1537
 
6.1%
й 1246
 
4.9%
д 953
 
3.8%
с 951
 
3.8%
г 890
 
3.5%
Other values (51) 9057
35.9%
ASCII
ValueCountFrequency (%)
7 1502
 
16.6%
0 599
 
6.6%
3 433
 
4.8%
8 402
 
4.5%
2 373
 
4.1%
1 371
 
4.1%
o 359
 
4.0%
6 328
 
3.6%
5 323
 
3.6%
t 322
 
3.6%
Other values (69) 4021
44.5%
Currency Symbols
ValueCountFrequency (%)
5
100.0%
Punctuation
ValueCountFrequency (%)
1
100.0%
Letterlike Symbols
ValueCountFrequency (%)
1
100.0%
None
ValueCountFrequency (%)
ș 1
100.0%

fone
Text

Distinct3698
Distinct (%)66.9%
Missing0
Missing (%)0.0%
Memory size394.0 KiB
2024-11-07T21:26:05.223655image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length7.9927628
Min length0

Characters and Unicode

Total characters44176
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2989 ?
Unique (%)54.1%

Sample

1st row77904221
2nd row77768794
3rd row77777139
4th row77954052
5th row77827520
ValueCountFrequency (%)
77739797 347
 
6.3%
77766577 55
 
1.0%
77726078 27
 
0.5%
77746606 27
 
0.5%
77873962 24
 
0.4%
77902820 23
 
0.4%
77511713 22
 
0.4%
77727210 18
 
0.3%
77777520 16
 
0.3%
77937063 14
 
0.3%
Other values (3687) 4952
89.6%
2024-11-07T21:26:05.783082image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 15643
35.4%
9 4317
 
9.8%
8 3721
 
8.4%
6 3279
 
7.4%
5 3256
 
7.4%
0 3093
 
7.0%
3 2906
 
6.6%
1 2866
 
6.5%
2 2672
 
6.0%
4 2423
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 44176
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 15643
35.4%
9 4317
 
9.8%
8 3721
 
8.4%
6 3279
 
7.4%
5 3256
 
7.4%
0 3093
 
7.0%
3 2906
 
6.6%
1 2866
 
6.5%
2 2672
 
6.0%
4 2423
 
5.5%

Most occurring scripts

ValueCountFrequency (%)
Common 44176
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 15643
35.4%
9 4317
 
9.8%
8 3721
 
8.4%
6 3279
 
7.4%
5 3256
 
7.4%
0 3093
 
7.0%
3 2906
 
6.6%
1 2866
 
6.5%
2 2672
 
6.0%
4 2423
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 44176
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 15643
35.4%
9 4317
 
9.8%
8 3721
 
8.4%
6 3279
 
7.4%
5 3256
 
7.4%
0 3093
 
7.0%
3 2906
 
6.6%
1 2866
 
6.5%
2 2672
 
6.0%
4 2423
 
5.5%
Distinct5415
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size86.4 KiB
Minimum2022-11-13 11:37:00
Maximum2024-10-01 15:00:00
2024-11-07T21:26:05.939118image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-07T21:26:06.315407image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

manth
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size86.4 KiB

model
Text

Distinct569
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size386.3 KiB
2024-11-07T21:26:06.785796image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length6.4673421
Min length1

Characters and Unicode

Total characters35745
Distinct characters89
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique180 ?
Unique (%)3.3%

Sample

1st rowRX 400h
2nd rowRogue
3rd rowES 300
4th rowTouareg
5th rowAvensis
ValueCountFrequency (%)
passat 279
 
3.7%
rx 277
 
3.7%
e 198
 
2.6%
e-klasse 190
 
2.5%
avensis 187
 
2.5%
5er 148
 
2.0%
camry 147
 
2.0%
450h 146
 
1.9%
golf 138
 
1.8%
prius 132
 
1.8%
Other values (547) 5676
75.5%
2024-11-07T21:26:07.383061image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 3351
 
9.4%
s 2394
 
6.7%
r 2270
 
6.4%
e 2153
 
6.0%
1991
 
5.6%
0 1613
 
4.5%
o 1414
 
4.0%
n 1331
 
3.7%
i 1292
 
3.6%
t 1137
 
3.2%
Other values (79) 16799
47.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 21010
58.8%
Uppercase Letter 6899
 
19.3%
Decimal Number 5260
 
14.7%
Space Separator 1991
 
5.6%
Dash Punctuation 547
 
1.5%
Close Punctuation 13
 
< 0.1%
Open Punctuation 13
 
< 0.1%
Other Punctuation 10
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 3351
15.9%
s 2394
11.4%
r 2270
10.8%
e 2153
10.2%
o 1414
 
6.7%
n 1331
 
6.3%
i 1292
 
6.1%
t 1137
 
5.4%
l 1129
 
5.4%
u 577
 
2.7%
Other values (29) 3962
18.9%
Uppercase Letter
ValueCountFrequency (%)
C 776
11.2%
A 765
11.1%
S 698
10.1%
E 605
8.8%
X 593
8.6%
P 587
8.5%
V 473
 
6.9%
R 473
 
6.9%
M 346
 
5.0%
G 273
 
4.0%
Other values (21) 1310
19.0%
Decimal Number
ValueCountFrequency (%)
0 1613
30.7%
5 827
15.7%
2 706
13.4%
3 640
 
12.2%
4 456
 
8.7%
1 318
 
6.0%
6 315
 
6.0%
7 176
 
3.3%
8 137
 
2.6%
9 72
 
1.4%
Other Punctuation
ValueCountFrequency (%)
/ 6
60.0%
' 2
 
20.0%
, 1
 
10.0%
& 1
 
10.0%
Space Separator
ValueCountFrequency (%)
1991
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 547
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Math Symbol
ValueCountFrequency (%)
= 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 27848
77.9%
Common 7836
 
21.9%
Cyrillic 61
 
0.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 3351
 
12.0%
s 2394
 
8.6%
r 2270
 
8.2%
e 2153
 
7.7%
o 1414
 
5.1%
n 1331
 
4.8%
i 1292
 
4.6%
t 1137
 
4.1%
l 1129
 
4.1%
C 776
 
2.8%
Other values (42) 10601
38.1%
Common
ValueCountFrequency (%)
1991
25.4%
0 1613
20.6%
5 827
10.6%
2 706
 
9.0%
3 640
 
8.2%
- 547
 
7.0%
4 456
 
5.8%
1 318
 
4.1%
6 315
 
4.0%
7 176
 
2.2%
Other values (9) 247
 
3.2%
Cyrillic
ValueCountFrequency (%)
а 9
14.8%
С 5
 
8.2%
Т 5
 
8.2%
я 5
 
8.2%
г 4
 
6.6%
е 4
 
6.6%
Я 4
 
6.6%
у 4
 
6.6%
р 4
 
6.6%
Д 4
 
6.6%
Other values (8) 13
21.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 35684
99.8%
Cyrillic 61
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 3351
 
9.4%
s 2394
 
6.7%
r 2270
 
6.4%
e 2153
 
6.0%
1991
 
5.6%
0 1613
 
4.5%
o 1414
 
4.0%
n 1331
 
3.7%
i 1292
 
3.6%
t 1137
 
3.2%
Other values (61) 16738
46.9%
Cyrillic
ValueCountFrequency (%)
а 9
14.8%
С 5
 
8.2%
Т 5
 
8.2%
я 5
 
8.2%
г 4
 
6.6%
е 4
 
6.6%
Я 4
 
6.6%
у 4
 
6.6%
р 4
 
6.6%
Д 4
 
6.6%
Other values (8) 13
21.3%

len_dop_info
Real number (ℝ)

Distinct931
Distinct (%)16.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean233.55274
Minimum3
Maximum3915
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size86.4 KiB
2024-11-07T21:26:07.548820image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q150
median141
Q3315.5
95-th percentile786
Maximum3915
Range3912
Interquartile range (IQR)265.5

Descriptive statistics

Standard deviation272.76069
Coefficient of variation (CV)1.1678762
Kurtosis13.509374
Mean233.55274
Median Absolute Deviation (MAD)113
Skewness2.5450123
Sum1290846
Variance74398.395
MonotonicityNot monotonic
2024-11-07T21:26:07.725400image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 687
 
12.4%
76 33
 
0.6%
77 29
 
0.5%
72 27
 
0.5%
26 26
 
0.5%
99 23
 
0.4%
97 23
 
0.4%
9 23
 
0.4%
20 23
 
0.4%
51 22
 
0.4%
Other values (921) 4611
83.4%
ValueCountFrequency (%)
3 687
12.4%
4 1
 
< 0.1%
5 6
 
0.1%
6 14
 
0.3%
7 7
 
0.1%
8 7
 
0.1%
9 23
 
0.4%
10 9
 
0.2%
11 6
 
0.1%
12 13
 
0.2%
ValueCountFrequency (%)
3915 1
< 0.1%
3434 1
< 0.1%
2099 1
< 0.1%
1963 1
< 0.1%
1851 1
< 0.1%
1843 1
< 0.1%
1791 1
< 0.1%
1745 1
< 0.1%
1742 1
< 0.1%
1643 1
< 0.1%

mileage_orig
Real number (ℝ)

MISSING 

Distinct1022
Distinct (%)22.3%
Missing954
Missing (%)17.3%
Infinite0
Infinite (%)0.0%
Mean133090.61
Minimum1
Maximum1000000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size86.4 KiB
2024-11-07T21:26:07.898974image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile82
Q1257
median120000
Q3240000
95-th percentile350000
Maximum1000000
Range999999
Interquartile range (IQR)239743

Descriptive statistics

Standard deviation134755.35
Coefficient of variation (CV)1.0125083
Kurtosis1.6256652
Mean133090.61
Median Absolute Deviation (MAD)119746
Skewness0.8648518
Sum6.0862335 × 108
Variance1.8159003 × 1010
MonotonicityNot monotonic
2024-11-07T21:26:08.071341image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
300000 127
 
2.3%
200000 80
 
1.4%
300 77
 
1.4%
250000 70
 
1.3%
1 70
 
1.3%
200 50
 
0.9%
100 48
 
0.9%
270000 45
 
0.8%
180000 45
 
0.8%
250 44
 
0.8%
Other values (1012) 3917
70.9%
(Missing) 954
 
17.3%
ValueCountFrequency (%)
1 70
1.3%
2 6
 
0.1%
3 5
 
0.1%
4 5
 
0.1%
5 5
 
0.1%
6 1
 
< 0.1%
8 1
 
< 0.1%
10 6
 
0.1%
11 4
 
0.1%
12 1
 
< 0.1%
ValueCountFrequency (%)
1000000 3
0.1%
999999 3
0.1%
843000 1
 
< 0.1%
826000 1
 
< 0.1%
753488 1
 
< 0.1%
720000 1
 
< 0.1%
700000 2
 
< 0.1%
640000 1
 
< 0.1%
560000 1
 
< 0.1%
552300 7
0.1%

Interactions

2024-11-07T21:25:58.009114image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-07T21:25:54.362379image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-07T21:25:55.256759image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-07T21:25:55.930395image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-07T21:25:56.633559image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-07T21:25:57.283738image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-07T21:25:58.125994image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-07T21:25:54.491096image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-07T21:25:55.370694image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-07T21:25:56.048423image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-07T21:25:56.740591image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-07T21:25:57.402765image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-07T21:25:58.235266image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-07T21:25:54.787570image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-07T21:25:55.480479image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-07T21:25:56.162467image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-07T21:25:56.847277image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-07T21:25:57.536009image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-07T21:25:58.347291image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-07T21:25:54.903600image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-07T21:25:55.595503image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-07T21:25:56.277111image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-07T21:25:56.958527image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-07T21:25:57.661016image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-07T21:25:58.452866image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-07T21:25:55.024217image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-07T21:25:55.701819image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-07T21:25:56.390015image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-07T21:25:57.061689image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-07T21:25:57.776026image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-07T21:25:58.576421image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-07T21:25:55.145235image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-07T21:25:55.820922image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-07T21:25:56.521504image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-07T21:25:57.177716image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-07T21:25:57.895053image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Missing values

2024-11-07T21:25:58.759194image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-11-07T21:25:59.275665image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2024-11-07T21:25:59.536629image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

brendvolumeтип_двигателягодpriseclass_autobodystatedoorfueltransmissionconditioneraudiomileagecontactfonedate_noticemanthmodellen_dop_infomileage_orig
0Lexus3300.00Гибрид2009.0010800.00ЛегковойвнедорожникОтличное4/5бензинавтоматклиматконтрольавтомагнитола168000.00Тирасполь779042212024-10-01 14:57:002024-10RX 400h3.00168000.00
3Nissan2500.00Бензин2015.0010000.00ЛегковойвнедорожникNaNNaNNaNавтоматклиматконтрольавтомагнитолаCD/MP3(сUSBиBluetooth)NaNСергей777687942024-10-01 14:42:002024-10Rogue54.00138.00
5Lexus2500.00Гибрид2013.0015900.00ЛегковойседанОтличное4/5бензинавтоматклиматконтрольавтомагнитолаCD/MP3(сUSBиBluetooth)NaNIgor777771392024-09-27 09:11:002024-09ES 300594.00145.00
6Volkswagen2000.00Дизель2004.004500.00ЛегковойминивенОтличное4/5дизель6-тиступ.мех.климатконтрольавтомагнитолаNaNКристина779540522024-10-01 14:33:002024-10Touareg120.00335.00
7Toyota2400.00Бензин-Газ2007.005500.00ЛегковойуниверсалОтличное4/5газавтоматклиматконтрольавтомагнитолаCD/MP3(сUSBиBluetooth)NaNМиихаилТатьяна778275202024-10-01 14:32:002024-10Avensis517.00197.00
9Toyota2000.00Дизель2005.005000.00ЛегковойседанОтличное4/5дизель5-тиступ.мех.кондиционеравтомагнитолаCD/MP3(сUSBиBluetooth)NaNAndrei775614562024-10-01 14:30:002024-10Avensis105.003000.00
10Toyota2000.00Дизель2004.004500.00ЛегковойхетчбекХорошее4/5дизель5-тиступ.мех.климатконтрольавтомагнитолаCD/MP3(безUSB)273000.00Михаил775375552024-10-01 14:19:002024-10Avensis587.00273000.00
15Lexus2500.00Гибрид2013.0013000.00NaNNaNNaNNaNNaNNaNNaNNaNNaNIulia779951562024-10-01 14:07:002024-10ES 300279.00NaN
16BMW2000.00Дизель2006.006900.00ЛегковойседанОтличное4/5дизель6-тиступ.мех.кондиционеравтомагнитолаCD/MP3(безUSB)254000.00BMWE60778890732024-10-01 14:03:002024-105er 520382.00254000.00
17Mitsubishi1800.00Бензин2000.001550.00ЛегковойхетчбекОтличное4/5бензин5-тиступ.мех.климатконтрольавтомагнитолаCD/MP3(безUSB)NaN07797299779972992024-10-01 13:50:002024-10Carisma351.003.00
brendvolumeтип_двигателягодpriseclass_autobodystatedoorfueltransmissionconditioneraudiomileagecontactfonedate_noticemanthmodellen_dop_infomileage_orig
8154Volvo2400.00Бензин2007.004500.00ЛегковойседанХорошее4/5бензинавтоматкондиционеравтомагнитолаCD/MP3(безUSB)NaNВадим760756112022-11-15 08:58:002022-11S60522.00511.00
8156Mercedes-Benz3200.00Дизель2005.005500.00ЛегковойседанОтличноеNaNдизельавтоматклиматконтрольавтомагнитолаNaNКонстантин775270072022-11-14 22:19:002022-11E-klasse E 320113.00NaN
8157Opel2000.00Дизель1999.002000.00ЛегковойуниверсалХорошее4/5дизель5-тиступ.мех.кондиционеравтомагнитолаCD/MP3(сUSBиBluetooth)NaNВасилий778981982022-11-14 20:06:002022-11Astra107.00NaN
8158Volkswagen1000.00Дизель2001.002700.00ЛегковойминивенХорошее4/5дизель6-тиступ.мех.климатконтрольавтомагнитолаCD/MP3(безUSB)300000.00Геннадий778271762022-11-14 17:49:002022-11Sharan3.00300000.00
8160Volkswagen1900.00NaN2005.004800.00NaNNaNОтличноеNaNдизель6-тиступ.мех.климатконтрольавтомагнитолаCD/MP3(сUSBиBluetooth)330000.00андрей775924752022-11-14 12:07:002022-11Sharan78.00330000.00
8161Mazda1800.00Бензин1995.001300.00ЛегковойседанХорошее4/5бензин5-тиступ.мех.NaNNaNNaNСлава779054692022-11-14 11:52:002022-1162634.00NaN
8162Mazda1600.00Бензин1994.001350.00ЛегковойседанХорошее4/5NaN5-тиступ.мех.NaNавтомагнитолаNaNТатьяна777191292022-11-14 10:27:002022-11Xedos 63.00NaN
8165Mercedes-Benz2700.00Дизель2003.004600.00ЛегковойседанОтличноеNaNдизельавтоматклиматконтрольNaNNaNGmail778319622022-11-13 14:55:002022-11E-klasse E 27025.00NaN
8166KiaNaNБензин-Газ2003.003100.00ЛегковойминивенОтличное4/5газ5-тиступ.мех.климатконтрольавтомагнитолаNaNСергей698108722022-11-13 11:41:002022-11Carens99.001.00
8167Mercedes-Benz1800.00Бензин2009.008000.00ЛегковойседанОтличное4/5газавтоматклиматконтрольавтомагнитолаCD/MP3(сUSBиBluetooth)NaNЕее778831732022-11-13 11:37:002022-11E-klasse E 20090.00222.00

Duplicate rows

Most frequently occurring

brendvolumeтип_двигателягодpriseclass_autobodystatedoorfueltransmissionconditioneraudiomileagecontactfonedate_noticemodellen_dop_infomileage_orig# duplicates
1Mitsubishi1700.00Бензин-Газ1994.001150.00ЛегковойседанУдовлетворительное4/5газ5-тиступ.мех.безкондиционераавтомагнитола552300.00Дмитрий775836902024-08-10 22:46:00Galant3.00552300.003
0Audi2000.00Бензин1992.001600.00ЛегковойседанОтличное4/5бензин5-тиступ.мех.кондиционеравтомагнитолаCD/MP3(сUSBиBluetooth)NaN077528176775281762023-04-10 14:14:0080456.00NaN2
2Skoda1800.00Бензин-Газ1999.002800.00ЛегковойседанХорошее4/5газNaNNaNNaNNaNSenegal777303702024-09-01 11:08:00Octavia140.00154.002
3Toyota2000.00Дизель2006.004500.00ЛегковойNaNХорошее4/5дизель6-тиступ.мех.климатконтрольавтомагнитолаNaNВиталик779588442023-03-06 20:36:00Avensis543.00300.002
4ToyotaNaNГибрид2010.008500.00ЛегковойхетчбекХорошее4/5бензинроботизированаякондиционеравтомагнитолаCD/MP3(сUSBиBluetooth)NaN+37377862726778627262023-01-06 17:17:00Prius168.00185.002